Genetic Programming Bibliography entries for Alena Orlenko

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GP coauthors/coeditors: Attri Ghosh, Philip J Freda, Shane Shahrestani, Andre E Boyke, Hyunjun Choi, Nicholas Matsumoto, Tayo Obafemi-Ajayi, Jason H Moore, Corey T Walker, L H Heimisdottir, B M Lin, H Cho, A A Ribeiro, A Simon-Soro, J Roach, D Shungin, J Ginnis, M A Simancas-Pallares, H D Spangler, A G Ferreira Zandona, J T Wright, P Ramamoorthy, H Koo, D Wu, K Divaris, Anil Kumar Saini, Pedro Henrique Ribeiro, Leo-Pekka Lyytikainen, Jari O Laurikka, Terho Lehtimaki, Sandra Batista, Patryk Orzechowski, Randal S Olson, Junmei Cairns, Pedro J Caraballo, Richard M Weinshilboum, Liewei Wang, Matthew K Breitenstein, Daniel Kofink, Kjell Nikus, Pashupati Mishra, Pekka Kuukasjarvi, Pekka J Karhunen, Mika Kaehoenen, Folkert W Asselbergs, Binglan Li, Neda Khanjani, Mythreye Venkatesan, Li Shen, Marylyn D Ritchie, Zhiping Paul Wang,

Genetic Programming Articles by Alena Orlenko

• Attri Ghosh and Philip J. Freda and Shane Shahrestani and Andre E. Boyke and Alena Orlenko and Hyunjun Choi and Nicholas Matsumoto and Tayo Obafemi-Ajayi and Jason H. Moore and Corey T. Walker. Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion. The Spine Journal, 2025. details

• L. H. Heimisdottir and B. M. Lin and H. Cho and A. Orlenko and A. A. Ribeiro and A. Simon-Soro and J. Roach and D. Shungin and J. Ginnis and M. A. Simancas-Pallares and H. D. Spangler and A. G. Ferreira Zandona and J. T. Wright and P. Ramamoorthy and J. H. Moore and H. Koo and D. Wu and K. Divaris. Metabolomics Insights in Early Childhood Caries. Journal of Dental Research, 2021. Epub ahead of print. details

• Alena Orlenko and Daniel Kofink and Leo-Pekka Lyytikainen and Kjell Nikus and Pashupati Mishra and Pekka Kuukasjarvi and Pekka J Karhunen and Mika Kaehoenen and Jari O Laurikka and Terho Lehtimaki and Folkert W Asselbergs and Jason H Moore. Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning. Bioinformatics, 36(6):1772-1778, 2020. details

Genetic Programming conference papers by Alena Orlenko

• Alena Orlenko and Binglan Li and Neda Khanjani and Mythreye Venkatesan and Li Shen and Marylyn D. Ritchie and Zhiping Paul Wang and Tayo Obafemi-Ajayi and Jason H. Moore. A random-walk-based learning framework to uncover novel gene candidates for Alzheimer's disease therapy. In Russ B Altman and Lawrence Hunter and Marylyn D. Ritchie and Tiffany Murray and Teri E. Klein editors, BIOCOMPUTING 2026, Pacific Symposium on Biocomputing, pages 815-829, Kohala Coast, Hawaii, USA, 2026. World Scientific Publishing Co. Pte. Ltd. details

• Nicholas Matsumoto and Anil Kumar Saini and Pedro Ribeiro and Hyunjun Choi and Alena Orlenko and Leo-Pekka Lyytikainen and Jari O. Laurikka and Terho Lehtimaki and Sandra Batista and Jason H. Moore. Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 165-181, Brno, Czech Republic, 2023. Springer Verlag. details

• Alena Orlenko and Jason H. Moore and Patryk Orzechowski and Randal S. Olson and Junmei Cairns and Pedro J. Caraballo and Richard M. Weinshilboum and Liewei Wang and Matthew K. Breitenstein. Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure. In Russ B. Altman and A. Keith Dunker and Lawrence Hunter and Marylyn D. Ritchie and Tiffany Murray and Teri E. Klein editors, Pacific Symposium on Biocomputing, pages 460-471, Hawaii, USA, 2018. World Scientific. details